Designing Scalable SaaS Pricing - The Rath 3×3 SaaS Pricing Framework
The Rath 3×3 SaaS Pricing Framework explains SaaS pricing across three customer tiers and three value drivers: users, compute resources, and product capability.
Computing
Computing Resources
Structured writing on software systems, SaaS pricing, AI, DevSecOps, platform architecture, and adjacent areas across the Digital Tech knowledge tree. Built as a reference section for consultants, geeks, and decision-makers looking for durable resources.
3x3 SaaS Pricing Framework
A practical framework for designing SaaS pricing around buyer maturity, value depth, and operating constraints.
What You'll Find Here
- Frameworks for product, pricing, and platform design
- Technical essays grounded in real operating constraints
- Reusable reference material instead of time-bound updates
Frameworks and Essays
Long-form technical writing connected to the Digital Tech category tree.
Risk-Based Green Devsecops: A Risk-Maturity Assessment Framework For Secure, Climate-Conscious Cloud Operations
A Risk-Maturity Assessment Framework (RMAF) for Green DevSecOps embeds sustainability into risk management. It assesses maturity across governance, process, technology, and culture, aligning with compliance and ESG goals for improved efficiency.
A Framework for a Secure Open-Source Software Supply Chain
It outlines automated SBOM generation and real-time dependency checks to improve security and transparency in open-source software.
Decision points for adoption cloud computing in small, medium enterprises (SMEs)
This study is on adoption of cloud computing by small and medium enterprises (SMEs) in India.
Related Blog Posts
Short-form writing connected to the same Digital Tech category network.
The 3×3 Framework for SaaS Pricing
Pricing a SaaS product is one of the most difficult decisions founders face. Engineering teams focus on building features. Sales teams focus on closing deals. Pricing often falls somewhere in between, shaped by competitor benchmarks or ad hoc experiments.
AI and the Human Mirror
AI has become a mirror of humanity—amplifying our creativity, biases, and choices. This piece reflects on how intelligent systems reshape our world and how we can remain worthy of augmentation by using them with wisdom, ethics, and empathy.
Internal AI ≠ Zero Vendor Risk: Why Your Supply Chain Still Matters
Yesterday, at London Tech Week, a fellow executive told me, “We build our own AI, so third‑party risk isn’t a concern.” I understand the sentiment, but it’s dangerously incomplete.
Navigating AI Risk and the Need to Evolve Third-Party Assessments
Organizations today rely heavily on third-party vendors, particularly in adopting advanced technologies like Artificial Intelligence (AI). As powerful as AI solutions are, they also introduce significant regulatory, operational, and reputational risks. It's no longer enough to trust a vendor’s assurances simply. Robust third-party risk assessments, especially concerning AI, are now crucial.
Talks and Slides
Presentations and talks associated with the same technical themes.
Keynote at the National IT Symposium on “Responsible AI: Intelligent Systems for Future”
On 29th November, 2025, ASBM School of Information Systems hosted the 4th National IT Symposium on “Responsible AI: Intelligent Systems for the Future”.
Spoke on 'Generative AI for Building Smarter Tech Foundations' at ONE AI Forum
Spoke remotely on "Generative AI for Building Smarter Tech Foundations" at the One AI Forum in Minsk, Belarus, on November 29, 2024.
Spoke on DevSecOps and Platform Engineering at Utkal University
Addressed a technical session on 'DevSecOps and Platform Engineering' during the National Seminar on Recent Trends in Computing and Communications - 2024, organized at Utkal University, Bhubaneswar, on August 24, 2024.